Dokerfile

# Use the official NVIDIA CUDA image as a base (you can adjust the CUDA version if needed)
FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04

# Set environment variable to avoid interactive prompts during package installation
ENV DEBIAN_FRONTEND=noninteractive

# Install Python 3.9 and dependencies
RUN apt-get update && \
    apt-get install -y python3.9 python3.9-dev python3.9-venv python3.9-distutils curl && \
    ln -s /usr/bin/python3.9 /usr/bin/python && \
    curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \
    python get-pip.py && \
    rm get-pip.py

# Set the working directory
WORKDIR /src

# Copy the requirements and application files
COPY requirements.txt . 
RUN pip install --no-cache-dir -r requirements.txt

# Copy all source code
COPY . .

# Expose the default Streamlit port
EXPOSE 8501

# Run the Streamlit app
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]